Computer assisted diagnosis of lung cancer using helical X-ray CT
Computer assisted diagnosis of lung cancer using helical X-ray CT
复制标题
使用螺旋 X 射线 CT 计算机辅助诊断肺癌
DOI：
10.1109/bia.1994.315845
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发表时间：
1994
期刊：
影响因子：
--
通讯作者：
Noriyuki Moriyama
中科院分区：
文献类型：
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作者：
K. Kanazawa;N. Niki;H. Satoh;H. Ohmatsu;Noriyuki Moriyama
作者描述了一种肺癌的计算机辅助诊断系统，该系统可以在早期从螺旋X射线CT图像中检测出具有精确测量条件的候选肿瘤。近年来，螺旋CT图像被用作大规模筛查的诊断工具，但考虑到要检查的图像数量，检查时间过长。在这里，作者描述了一种诊断系统，它可以在肺癌肿瘤的早期阶段检测出候选区域。作者的诊断算法是基于图像处理技术和医学知识。从对肺癌患者的应用结果中，作者描述了他们的算法的有效性。
The authors describe a computer assisted diagnosis system for lung cancer that detects a candidate tumor in its early stage from helical X-ray CT images with precise measurement conditions. Recently, helical X-ray CT images have been used as a mass screening diagnostic tool, but considering the number of images to be checked, the checking time is too long. Here the authors describe a diagnosis system that can detect the candidate area for the lung cancer tumor in its early stage. The authors' diagnostic algorithm is based on image processing techniques and medical knowledge. From results of application to lung cancer patients, the authors describe the effectiveness of their algorithm.<<ETX>>